Machine Learning Engineer Specialist
Machine Learning Engineer Specialist
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Job Description
Core Responsibilities
1. Develops complex data pipelines and implements machine learning engineering design principles for iterative ML pipeline development to drive scale and efficiency. Proficient in model development environments and coding standard methodologies to enable model deployment.
2. Integrates and optimizes existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors documents assumptions and forages to fill data gaps. Applies knowledge of experimental methodologies statistics optimization probability theory and machine learning concepts to create selfrunning artificial intelligence (AI) systems to automate predictive models. Proficient in MDLC processes and related tools and technologies.
3. Partners with data science teams to review model ready dataset document/feature documentation. Develops data model design and document and reviews for completeness with data science teams.
4. Partners with data science teams to understand data requirements performs data discovery for model development. Performs detailed analysis of raw data sources for data quality applies business context and model development needs. Drives efficiency through the use of data discovery tools.
5. Engages with internal stakeholders to understand and probe business processes and develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
6. Writes model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.
7. Serves as a machine learning engineering domain expert on multifunctional teams for large critical initiatives and contributes to the growth of the Vanguard analytic community.
8. Participates in special projects and performs other duties as assigned.
Qualifications
7 years experience building machine learning pipelines.
5 years experience with AWS Stack.
3 years of handson experience with designing ETL pipelines using AWS GIS.
3 years experience deploying model as end points in AWS using AWS Sagemaker.
Proficient in Python Coding and its variants (PySpark PySQL etc..
Good understanding of Feature Store and its usage in gen AI technology.
Experience with MDLC (Machine Learning Development Lifecyle) standard methodologies and protocols.
Undergraduate degree or equivalent experience or equivalent combination of training and experience. Graduate degree preferred.
Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.About Vanguard
At Vanguard we dont just have a missionwere on a mission.
To work for the longterm financial wellbeing of our clients. To lead through product and services that transform our clients lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members designed to capture the benefits of enhanced flexibility while enabling inperson learning collaboration and connection. We believe our missiondriven and highly collaborative culture is a critical enabler to support longterm client outcomes and enrich the employee experience.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
